Extended Data Fig. 1: Long-term risk of mortality by increasing continuous thymic health, by increasing thymic health percentiles cut-off thresholds, and in each thymic health decile.

a, Risk of death according to a one standard deviation increase of the continuous thymic health measure, and b, with stratification by sex and age. c, Risk of death by increasing thymic health percentile thresholds in the pooled (FHS and NLST) (upper panel) and independent FHS (middle panel) and NLST (lower panel) cohorts. d, Risk of death in each thymic health decile versus the lowest decile, as reference, in the pooled (upper panel) and independent FHS (middle panel) and NLST (lower panel) cohorts. a–d, FHS, n = 2,581; NLST, n = 25,031. Cox proportional hazards regression was used to estimate HRs. In the forest plots, the center of each box represents the estimated hazard ratio, and the whiskers denote the corresponding 95% CI; arrowheads indicate that the 95% CI extends beyond the visualized limits; shaded box size is for visualization only and does not encode statistical weight. Statistical significance of the continuous or binarized thymic health covariate coefficients at the different cut points was assessed using two-sided Wald z-tests without adjustments for multiple comparisons. CI Confidence Interval, FHS Framingham Heart Study, HR Hazard Ratio, NLST National Lung Screening Trial, SD standard deviation.